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Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

26,943 ratings

About the Course

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Top reviews


Sep 28, 2021

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.


May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

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5851 - 5875 of 5,923 Reviews for Introduction to Data Science in Python

By Daniel S

Oct 10, 2023

Not intermediate. Not basic. Very advanced. Very little point in showing these videos if they are not going to teach anything, just run through these examples.

By M

Aug 17, 2021

Course material was presented pretty simply without examples that related to the programming assignments. Didn't provide me with the tools I wanted it to.

By Victoria S

May 3, 2020

the lectures are not helpful at all, assignments were organised poorly - there impossible to see mistakes, in other words- go break your head over it


Mar 25, 2021

Corrupted or outdated data in week 3 and week 4. Hidden tests that fail and you can't get the reason...

Besides of that - the material given is good

By Dheeraj a

Jul 4, 2020

The instructor teaches you very liitle and expects you to do thing of your own.It was the worst course i have done until now.The instructor is mad.

By Wing K W

Jan 8, 2022

The assignment is lack of information. The data provide is not match with the data definition. How can we finish a 202 page PDF for 1 assignment?

By Zain R

Aug 5, 2019

The pacing for the course is horrendous, this class quickly becomes impossible to do without looking up answers as the lectures do not help at all

By Azima A

Aug 31, 2020

The Course is too general, not going into details of how codes should be written. In order to pass the assignments you need to separately study.

By Chris M

Mar 31, 2017

Unclear assignments, lectures are brief and sometimes unclear. Spent more time trying to understand what was being asked than actually learning.

By Ibrahim R

May 26, 2024

The course just jumps into practice without talking about Data Science concepts and the assignments are really hard for an "introduction".

By Egbeola A

Apr 9, 2020

The lectures videos were poorly structured, the only good things were the assignment which on its own can teach better than the lecturers

By Daniel V

May 3, 2020

The course material is good, but the auto-grader does not work properly. Most time on week 3 assignment is debuggin this auto-correcter.

By Brian V S

Nov 19, 2016

Very knowledgeable professors, but very little explanation or actual 'teaching'. Graded assignments require a lot of self-education.

By rachel l

Jun 22, 2020

Not much information for beginners without a coding background. Assignments are impossible given the video tutorials we have.

By Daniel Z

Nov 11, 2021

Can't learn anything. Nothing is explained properly, everything is just dumped at once and you are expected to know all

By adithya s

Jun 13, 2020

it is very hard for beginners to understand!! More example type teaching is required than simply dictating the theories.

By Ravi T

Mar 31, 2019

The instuctor is too slow and the way of teaching could be made more interactive and interesting , like CS50 of Harvard

By Allen T

Dec 31, 2021

Time spent != Learning Benefit. Assignment #3 is a waste of time. Week 3 Lecture and assignment #3 were unrelated.

By Diwakar S

Aug 10, 2020

teacher is good but talks way too fast. hard to follow especially data science concepts at that speed

By Vishnu S K

Jun 26, 2020

The Class is too fast and not explained in an understandable manner. Programming is also very fast.

By Lovish b

Aug 18, 2020


By Shailvi S

Jun 19, 2020

Not an introductory course. They don't even teach like you're a beginner. Very very unsatisfied.

By Priata N

May 6, 2020

Not a very good instructor or course. Course topics are good. I had to learn from other sources.

By Saim L

Nov 29, 2023

My last assignment is not clear i got a grade 70% but its higher grade is 80% so please help me